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CoreMedia Content Cloud MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect CoreMedia Content Cloud through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "coremedia-content-cloud": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "CoreMedia Content Cloud Agent",
    instructions:
      "You help users interact with CoreMedia Content Cloud " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with CoreMedia Content Cloud?"
  );
  console.log(result.text);
}

main();
CoreMedia Content Cloud
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About CoreMedia Content Cloud MCP Server

Connect your CoreMedia Content Cloud headless server to any AI agent and take full control of your digital experience platform through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and CoreMedia Content Cloud tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • GraphQL Orchestration — Execute arbitrary GraphQL payloads to bridge raw strings and define specific nesting constraints natively
  • Content Node Access — Retrieve articles (CMArticle) and channels (CMChannel) by path, fetching detailed HTML grids and metadata
  • Asset Discovery — Retrieve CMPicture asset details and resolve URI templates for image placement in your digital experiences
  • Global Content Search — Leverage CoreMedia's Solr integration to perform full-text string queries across all nodes limitlessly
  • Navigation & Site Context — Resolve site menus, navigation hierarchies, and brand configurations including locale metadata and root nodes
  • Schema Introspection — Query the __schema to fetch dynamic headless types and verify active model extensions
  • Persisted Queries — Execute pre-compiled SHA256 hashes to ensure edge caching and optimize delivery for high-performance frontends

The CoreMedia Content Cloud MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect CoreMedia Content Cloud to Mastra AI via MCP

Follow these steps to integrate the CoreMedia Content Cloud MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from CoreMedia Content Cloud via MCP

Why Use Mastra AI with the CoreMedia Content Cloud MCP Server

Mastra AI provides unique advantages when paired with CoreMedia Content Cloud through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add CoreMedia Content Cloud without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every CoreMedia Content Cloud tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

CoreMedia Content Cloud + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the CoreMedia Content Cloud MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query CoreMedia Content Cloud, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed CoreMedia Content Cloud as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query CoreMedia Content Cloud on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using CoreMedia Content Cloud tools alongside other MCP servers

CoreMedia Content Cloud MCP Tools for Mastra AI (10)

These 10 tools become available when you connect CoreMedia Content Cloud to Mastra AI via MCP:

01

execute_graphql_payload

Identify bounded routing spaces inside the Headless CoreMedia Delivery Schema

02

execute_persisted_query

Mutate global Web CRM boundaries substituting Draft Document schemas

03

get_cmarticle_path

Perform structural extraction of properties driving active CMArticle nodes

04

get_cmchannel_page

Enumerate explicitly attached structured rules exporting active CMChannel layouts

05

get_cmpicture_asset

Retrieve explicit Cloud logging tracing explicit Image Assets

06

get_cmviewtypes

Irreversibly vaporize explicit App nodes dropping live Database bytes

07

get_introspection_query

Dispatch an automated validation check routing explicit Schema limits

08

get_navigation_tree

Identify precise active arrays spanning native navigation hierarchies

09

get_site_context

Retrieve the exact structural matching verifying Multi-brand environments

10

search_global_content

Inspect deep internal arrays mitigating specific Content constraints

Example Prompts for CoreMedia Content Cloud in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with CoreMedia Content Cloud immediately.

01

"Get article content for path '/Sites/Corporate/News/Q1-Update'"

02

"Search for content matching 'Sustainability'"

03

"Show me the navigation tree for root node 'root-123'"

Troubleshooting CoreMedia Content Cloud MCP Server with Mastra AI

Common issues when connecting CoreMedia Content Cloud to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

CoreMedia Content Cloud + Mastra AI FAQ

Common questions about integrating CoreMedia Content Cloud MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect CoreMedia Content Cloud to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.